40 citations · 49 across the 9 of their papers we have counts for
12 papers · 1 filter
Enhancing Fine-Grained Classification for Low Resolution Images
Maneet Singh, Shruti Nagpal, Mayank Vatsa +1
Low resolution fine-grained classification has widespread applicability for applications where data is captured at a distance such as surveillance and mobile photography. While fin…
On the Robustness of Face Recognition Algorithms Against Attacks and Bias
Richa Singh, Akshay Agarwal, Maneet Singh +2
Face recognition algorithms have demonstrated very high recognition performance, suggesting suitability for real world applications. Despite the enhanced accuracies, robustness of…
Dual Directed Capsule Network for Very Low Resolution Image Recognition
Maneet Singh, Shruti Nagpal, Richa Singh +1
Very low resolution (VLR) image recognition corresponds to classifying images with resolution 16x16 or less. Though it has widespread applicability when objects are captured at a v…
Deep Learning for Face Recognition: Pride or Prejudiced?
Shruti Nagpal, Maneet Singh, Richa Singh +1
Do very high accuracies of deep networks suggest pride of effective AI or are deep networks prejudiced? Do they suffer from in-group biases (own-race-bias and own-age-bias), and mi…
Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!
Maneet Singh, Shruti Nagpal, Mayank Vatsa +2
Autoencoders are unsupervised deep learning models used for learning representations. In literature, autoencoders have shown to perform well on a variety of tasks spread across mul…
Learning A Shared Transform Model for Skull to Digital Face Image Matching
Maneet Singh, Shruti Nagpal, Richa Singh +2
Human skull identification is an arduous task, traditionally requiring the expertise of forensic artists and anthropologists. This paper is an effort to automate the process of mat…
Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification
Maneet Singh, Shruti Nagpal, Richa Singh +1
Gender is one of the most common attributes used to describe an individual. It is used in multiple domains such as human computer interaction, marketing, security, and demographic…
Are you eligible? Predicting adulthood from face images via class specific mean autoencoder
Maneet Singh, Shruti Nagpal, Mayank Vatsa +1
Predicting if a person is an adult or a minor has several applications such as inspecting underage driving, preventing purchase of alcohol and tobacco by minors, and granting restr…
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis
Maneet Singh, Shruti Nagpal, Richa Singh +2
Enhancing low resolution images via super-resolution or image synthesis for cross-resolution face recognition has been well studied. Several image processing and machine learning p…
Face Sketch Matching via Coupled Deep Transform Learning
Shruti Nagpal, Maneet Singh, Richa Singh +3
Face sketch to digital image matching is an important challenge of face recognition that involves matching across different domains. Current research efforts have primarily focused…
On Matching Skulls to Digital Face Images: A Preliminary Approach
Shruti Nagpal, Maneet Singh, Arushi Jain +3
Forensic application of automatically matching skull with face images is an important research area linking biometrics with practical applications in forensics. It is an opportunit…
Gender and Ethnicity Classification of Iris Images using Deep Class-Encoder
Maneet Singh, Shruti Nagpal, Mayank Vatsa +3
Soft biometric modalities have shown their utility in different applications including reducing the search space significantly. This leads to improved recognition performance, redu…